Tom Chartrand
Scientist at Allen Institute for Brain Science
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTom Chartrand is a scientist and applied mathematician with 11 years of experience applying quantitative methods to neuroscience and software-driven data analysis. Based at the Allen Institute since 2018, he focuses on improving electrophysiology data pipelines and tooling—contributing to the widely used AllenSDK to make ecephys processing more robust and reproducible. He holds a PhD in Applied Mathematics from UC Davis and combines deep theoretical training with practical software engineering skills developed earlier in roles from Intentional Software to reactor operations. Tom's background spans academic research, teaching, and hands-on systems work, which gives him a rare fluency across modeling, data processing, and production code. He brings a practitioner’s attention to reproducibility and documentation, often refactoring core classes and notebooks to help teams work more efficiently.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of California, DavisBA, Mathematics / Physics, BA, Mathematics / Physics at Reed CollegeMaine School of Science and Mathematics (MSSM)
Github Skills (7)
data-analysis10
bioinformatics10
xray10
python10
xa10
numpy9
pandas9
Programming languages (11)
Github contributions (5)
AllenInstitute/AllenSDK
Nov 2018 - Aug 2019
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 3 PRs, 13 comments in 9 months
Contributions summary:Tom primarily contributed to the AllenSDK repository by modifying code related to the processing and analysis of neuroscientific data. Their commits involve fixing failures in ecephys data processing, updating data array names, and refactoring methods within the `EcephysSession` class. They also made changes to the structure intervals and updated an ecephys notebook, indicating a focus on improving the data analysis pipeline and documentation for electrophysiology data.
brainneurosciencepythonscienceneuroimaging
tmchartrand/ipfx
Aug 2019 - Aug 2021
Contributions:37 pushes, 15 branches, 1 comment in 2 years
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